Different Scales Of Analysis Research Articles

Capturing the Value of Walkability

Capturing the value infrastructure investments add to the residential market is a longstanding policy to defray their expense. Unfortunately, estimates of the added value of infrastructure, generally, and estimates of the added value of walkability, specifically, are scarce. Novel, multiscale models free independent variables to manifest simultaneously at different scales of analysis to greatly improve specifications to precisely estimate walkability valuation. Results from analysis of years of transactions within walking distance of heavy rail stations suggest that walkability adds value available for capture locally, not systemically. Stakeholders confront myriad problems to replicate the accessibility characteristics shown to add value given the distinct cluster where walkability adds value available for capture in a heavy rail system.

Scale-Dependent Effects of Urban Canopy Cover, Canopy Volume, and Impervious Surfaces on Near-Surface Air Temperature in a Mid-Sized City

Cities are significantly warmer than their surrounding rural environments. Known as the ‘urban heat island effect’, it can affect the health of urban residents and lead to increased energy use, public health impacts, and damage to infrastructure. Although this effect is extensively researched, less is known about how landscape characteristics within cities affect local temperature variation. This study examined how tree canopy cover, canopy volume, and impervious surface cover affect daytime near-surface air temperature, and how these effects vary between different scales of analysis (10, 30, 60, 90 m radii), ranging from approximate street corridor to city block size. Temperature data were obtained from a car-mounted sensor, with traverse data points recorded during morning, afternoon, and evening times, plotted throughout the city of Portland, OR. The variability in near-surface air temperature was over 10° F during each traverse period. The results indicate that near-surface air temperature increased linearly with impervious surface cover and decreased linearly with tree canopy cover, with canopy volume reducing the temperature by 1° F for every 500 cubic feet of canopy volume for evening temperatures. The magnitude of the effect of tree canopy increased with spatial scale, with 60 and 90 m scales having the greatest measurable effect. Canopy volume had a positive relationship on presumed nighttime and early-morning temperatures at 60 and 90 m scales, potentially due to the impacts of wind fluctuation and air roughness. Canopy cover still contributed the largest overall decrease in street-scale temperatures. Increasing tree canopy cover and volume effectively explained the lower daytime and evening temperatures, while reducing impervious surface cover remains critical for reducing morning and presumed nighttime urban heat. The results may inform strategies for urban foresters and planners in managing urban land cover and tree planting patterns to build increased resiliency towards moderating urban temperature under warming climate conditions.

A roadmap to define and select aquatic biological traits at different scales of analysis

Trait-based approaches are a powerful tool, as they not only improve understanding of ecological complexity and functioning but also allow comparison across different ecosystems and biogeographical regions. They may be used to unveil ecosystem processes and assess community structures, but their great potential becomes limited when dealing with scattered trait data and historically unstandardised trait nomenclature. The lack of standardisation allows authors to use the terminology of their preference, which inevitably leads to ambiguous misunderstandings and limits comparison between different studies. There have been some attempts to organise the trait vocabulary, but even these are mostly created from the perspective of a single ecosystem, which limits their applicability. In this work, we conducted a systematic literature review that identified and compiled 1127 traits across 37 datasets of fishes, invertebrates and zooplankton from freshwater, marine and transitional ecosystems. This dataset was then used to build on the Marine Species Traits Wiki and to propose a new, unified approach to a trait vocabulary based directly on readily available trait data. We propose a single standardised designation for all the different traits identified and provide a list of all the different synonyms commonly used for these traits. A roadmap to help the trait selection process is also provided, offering a guide through four main steps and important questions for choosing an adequate set of traits at the beginning of any study, which constitutes one of the main challenges in functional ecology research. Overall, this proposal will provide a solid baseline for tackling gaps in trait nomenclature and ensuring a clearer future for functional ecology studies.

Knowledge co-production around the cormorant-fishing conflict using a joint fact-finding approach

The great cormorant (Phalacrocorax carbo) has been a persistent source of human–wildlife conflicts in the Baltic Sea area. Fishers have perceived cormorants as competitors for fish resources, while conservationists have resisted mass hunting of the birds. In this paper, we analyse the cormorant conflict in Finland, with a special focus on its factual dimensions and the previous attempts to address the conflict at the national and regional levels. We also present the results from a knowledge co-production process, structured as a joint fact-finding process to address the contested knowledge claims concerning cormorant-fishing interactions. The results suggest that the factual controversy about the cormorant effect on fishing livelihood is essentially a frame conflict resulting from different scales of analysis. Our findings support the assumption that knowledge co-production processes have the potential to address science-intensive environmental conflicts and create practically useful and contextually appropriate knowledge, which integrate scientific knowledge with place- and practice-based knowledge. The process developed a shared understanding of the fishers’ practical wildlife-induced problems and several other questions, including cormorant impacts on migratory fish in Finland. A key to generating shared information was that the participants had control over information used in the process. Furthermore, third-party facilitation was important to ensure effective dialogue. While interpersonal conflicts have not been the original source of the impasse, they have become an important part of it and prevented efforts to constructively address the conflict.

Linking Up Bell Beakers in the Iberian Peninsula

Many studies in complexity theory employ agent-based models whose interactions can be expressed as networks. In such models, the pattern of interactions between actors is crucial, and the network topology that emerges from the raw data can be characterized through many metrics. One tool previously used in archaeology studies has the potential to deal with networks in social contexts at different scales of analysis: social network analysis (SNA). This discipline has been applied successfully in a wide range of archaeological problems, providing valuable insights and a different perspective. It also could be helpful to quantify concepts associated with social complexity, such as robustness or resilience. In this work, we propose some methodologic possibilities for consideration in the phase definition of the adaptive cycle model (ACM), using SNA tools. To illustrate the process, we will present a case study from the Copper Age in the Iberian Peninsula: the Bell Beaker phase.

Unexpected patterns in the global COVID-19 pandemic data

A number of public health interventions, including mobility restrictions and vaccination, were undertaken to limit the global impact of the SARS-CoV-2 pandemic. The burden of the associated disease COVID-19 was also expected to be dependent on demographic and socio-economic determinants such as older age and general wellbeing. In this exploratory study, we examine country-level relationships between a selection of these interventions and pre-existing determinants on one hand, and public health outcomes, including COVID-19 cases, intensive-care patients, deaths, and excess mortality, on the other hand. We outline the expected results and highlight countries, continents, and time periods during 2020-2022, where/when unexpected patterns can be found in the data. For example at a global per-country scale, neither mobility restrictions nor school closures were associated with improved outcomes; no intervention or determinant came with lower intensive-care patient rates; and when using aggregation per year and continent, Europe is the only world region where vaccination and the human development index correlated with better outcomes. Between 78% and 92% of the relationships at different scales of analysis either were not statistically significant or went in the wrong direction altogether. This failure to yield expected public health benefits suggests the need for an unbiased, critical reassessment of the global pandemic response with a view to improving preparedness for future emergencies. The articles concludes with a set of research hypotheses to guide this effort.

Moving Between Scales

This dissertation employs the perspective of library and information science (LIS) to inform and guide methodological reflections in two interdisciplinary fields, computational social science (CSS) and digital humanities (DH). However, CSS often prioritizes recent digital trace data over archival material from earlier periods, and the large-scale methods used in DH face criticism from humanists for their incapability to capture perspectival and interpretative nuances.
 This dissertation blends humanistic and social-scientific approaches to study premodern China, emphasizing the importance of “moving between scales.” It bridges different scales of analysis by transitioning dynamically between them, examines small-scale structures to uncover how they reflect large-scale dynamics, and explores mid-range social phenomena by investigating prosopography of elite society members. Four research questions are posed: (1) What are the challenges and opportunities in investigating a social network based on biased text? (2) How can prosopographical data lead to conclusions about the shifting center of political power? (3) How can structural characteristics in multiple networks reveal changes in political culture? (4) What can bibliographic metadata reveal about the particularity of publishing history of 16th-to-19th-century Chinese books?
 By addressing these questions, this dissertation intends to leverage theories and practices of LIS to develop computational models unveiling historical trends. It seeks to contribute to CSS by enhancing social scientists’ understanding on how societies and cultural systems evolve over time, to DH by revealing the historical changes in the longue durée in premodern China, and to LIS by fulfilling its mission of providing an information perspective to traditional academic disciplines.

Reliability assessment of open-source multiscale landslide susceptibility maps and effects of their fusion

ABSTRACT Several landslide susceptibility (LS) maps at various scales of analysis have been performed with specific zoning purposes and techniques. Supervised machine learning algorithms (ML) have become one of the most diffused techniques for landslide prediction, whose reliability is firmly based on the quality of input data. Site-specific landslide inventories are often more accurate and complete than national or worldwide databases. For these reasons, detailed landslide inventory and predisposing variables must be collected to derive reliable LS products. However, high-quality data are often rare, and risk managers must consider lower-resolution available products with no more than informative purposes. In this work, we compared different ML models to select the most accurate for large-scale LS assessment within the Municipality of Rome. The ExtraTreesClassifier outperformed the others reaching an average F1-score of 0.896. Thereafter, we addressed the reliability of open-source LS maps at different scales of analysis (global to regional) by means of statistical and spatial analysis. The obtained results shed light on the difference in hazard zoning depending on the scale and mapping unit. An approach for low-resolution LS data fusion was attempted, assessing the importance of the adopted criteria, which increased the ability to detect occurred landslides while maintaining precision.

Extreme Runoff Estimation for Ungauged Watersheds Using a New Multisite Multivariate Stochastic Model MASVC

Precipitation is influential in determining runoff at different scales of analysis, whether in minutes, hours, or days. This paper proposes the use of a multisite multivariate model of precipitation at a daily scale. Stochastic models allow the generation of maximum precipitation and its association with different return periods. The modeling is carried out in three phases. The first is the estimation of precipitation occurrence by using a two-state multivariate Markov model to calculate the non-rainfall periods. Once the rainfall periods of various storms have been identified, the amount of precipitation is estimated through a process of normalization, standardization of the series, acquisition of multivariate parameters, and generation of synthetic series. In comparison, the analysis applies probability density functions that require fewer data and, consequently, represent greater certainty. The maximum values of surface runoff show consistency for different observed return periods, therefore, a more reliable estimation of maximum surface runoff. Our approach enhances the use of stochastic models for generating synthetic series that preserve spatial and temporal variability at daily, monthly, annual, and extreme values. Moreover, the number of parameters reduces in comparison to other stochastic weather generators.

An integral approach to the study of bromalites. Late Quaternary and neo-taphonomic case studies from arid South America

Bromalites are fossil traces of organisms, consisting of material from their digestive system, including coprolites, regurgitalites, consumulites, pabulites and digestilites (Hunt, 1992; Hunt and Lucas, 2021). As such, they inform about the interactions between bromalite-producing organisms and others, as well as between them and the environment generally, at a relatively fine temporal and spatial resolution. Yet, bromalites have often been dismissed in paleontological and, especially, archaeological research. This work discusses the relevance of bromalites as sources of paleoecological and even cultural information, and the importance of integrating multiple lines of evidence and different scales of analysis in the taphonomic study of bromalites. To do so, it reviews the different proxies that can be analysed, and illustrates this integral approach with examples of late Quaternary and modern contexts from an ongoing project in arid South America. It intends to show the potential of such a multiproxy and multiscale approach in order to elicit as much information as possible from these palaeobiological reservoirs.

Mapping the Environmental Vulnerability of a Lagoon Using Fuzzy Logic and the AHP Method

Environmental vulnerability refers to the susceptibility of a region to damage when it is subjected to natural or anthropogenic actions. The assessment of environmental vulnerability in lakes is an important tool to assist managers in planning and intervening for sustainable production and environmental preservation. The combination of geotechnologies, fuzzy logic and the analytic hierarchy process (AHP) has been applied by professionals and researchers to improve the work and research conducted in various areas and environments. In this context, the objective of this work was to map the environmental vulnerability of a lake and its surroundings through fuzzy logic and the AHP method. The study area comprises the Juparanã Lagoon Drainage Surface (JLDS), Espírito Santo state, Brazil. A survey of the physical characteristics of the watershed (drainage surface) that feeds the Juparanã Lagoon was carried out and also of the land use of this surface. To achieve the proposed objectives, the following methodological steps were implemented: (a) delimitation of watersheds, (b) spatialization of Permanent Preservation Areas (APP) based on the Brazilian Forestry Code (Law nº 12,651/2012), (c) application of logic fuzzy and AHP to spatialize the environmental vulnerability and (d) application of an evaluation of environmental vulnerability to the Preservation Areas (APP). Environmental vulnerability was modeled using Euclidean distance analysis, fuzzy logic and the AHP method, as proposed by Saaty (1977). For the development of this work, geotechnologies were used, with special emphasis on the use of the free software QGIS. The analysis revealed that 31.20%, 32.86% and 20.93% of the JLDS have very high, high and medium vulnerability, respectively. The evaluation of the environmental vulnerability of the APP showed that there is protection in the APP of the JLDS at rates of 47.35%, 34.05% and 14.5% for very high, high and medium vulnerability classes, respectively. The difficulties encountered were related to the lack of studies in the area of environmental vulnerability with a particular focus on lagoons. Here, for the first time, we perform a photointerpretation of the surroundings of Juparanã Lagoon. An important improvement measure would be the application of a temporal analysis to assess the dynamics of environmental vulnerability over time, considering socioeconomic, climatic and environmental changes. This would provide a more complete understanding of the distribution of environmental vulnerability in the study area. The methodology can be adapted to consider different scales of analysis, from local to regional, national and global scales, to assess environmental vulnerability at various scopes and levels of complexity. It can also be adapted to include local communities and governments.

An urban neighbourhood framework for realising progress towards the New Urban Agenda for equitable early childhood development

ABSTRACT Children consistently exposed to positive, stimulating environments, including their spatial neighbourhood, experience foundations for ongoing optimal development. Recognition of the neighbourhood as a mechanism to enhance wellbeing is reflected in the United Nation's New Urban Agenda. Through a series of innovations and advancements, this paper aims to describe a spatial indicators' framework, the Neighbourhood Early Childhood Development Framework. Once tested, it can be used to assess and monitor urban neighbourhoods for their ability to equitably support early childhood development. Eight domains were included in the framework: Early childcare and education services, family-friendly destinations, food outlets, housing, public open space, public transport, traffic, and walkability. Overall, 44 indicators were conceptualised for calculation at the smallest appropriate geographical scale available (i.e. a child's home address). Different scales of analysis were chosen to represent a child's local neighbourhood in an urban setting. The Framework supports commitment to action in the New Urban Agenda through improved measurement, monitoring, and research capabilities, alongside provision of tools to support evidence-based and interdisciplinary policy and practitioner decision-making. Once tested with child outcomes, it can inform more precise, evidence-based place-based interventions, while offering the potential to reduce childhood developmental inequities at scale.

Collective and Individual Experiences of Slaves in Leghorn, Pisa and Florence, 1702-1826

This article presents a group portrait of captives and slaves and a picture of some individual slaves’ lives in the Bagno of Leghorn and Pisa and in the House of Catechumens of Florence in the Grand Duchy of Tuscany during the period 1702-1826. This research is based on Leghorn government papers, the archive of Florence’s Ginori family and the records of the Magistrato del Bigallo.The study follows two lines of inquiry corresponding to two different scales of analysis. The first draws a group portrait from a list of slaves living at the Bagno of Leghorn and released in 1747. This portrait reveals a uniform and collective life and provides quantitative information on the latter, particularly concerning the question of the time of their captivity or their enslavement. The second line of investigation explores the experiences and individual trajectories of several slaves between Livorno, Pisa and Florence and raises questions about conclusive interpretations concerning the level of homogeneity in their living and working conditions. The presence of slaves and captives in galleys or prisons has been the subject of much research based on the many documents produced in these places, including lists of slaves that allow scholars to build a group portrait. The realization of this type of portrait requires, however, consideration of individual trajectories and differences. This is made possible by sources such as the supplications of slaves living in these places of detention as well as those resident in the House of Catechumens of Florence. The petitions of slaves, in both Pisa and Livorno, reveal the diversity of living conditions in the same place of detention. While historiography has emphasized a standardization of conditions in different environments—such as galleys and prisons—the study sheds light on how differences in physical qualities (health, physical strength, skin colour), geographical origin, professional skills or religion of captives and slaves had an impact on access to freedom, their agency, and their treatment by their owners. In addition, the sources of the Magistrato del Bigallo allow for a very subtle approach, making it possible to show for example the different experiences of a brother and a sister, both slaves and from Sub-Saharan Africa, in the House of Catechumens of Florence.These sources, less explored, bring to light formerly invisible stories of enslaved people from the Mediterranean and outside with singular trajectories that complicate existing interpretations. The two approaches, that of the group portrait and that concentrating on the individual experiences of the captives and slaves, are fundamental to developing a comprehensive understanding of the phenomenon of slavery in Tuscany.

Milton and the New Scientific Age: Poetry, Science, FictionCatherine GimelliMartin, ed. New York: Routledge, 2019. xv + 242pp. ISBN 13: 9780367182731. $140.00 (cloth).

Milton and the New Scientific Age: Poetry, Science, FictionCatherine GimelliMartin, ed. New York: Routledge, 2019. xv + 242pp. <scp>ISBN</scp> 13: 9780367182731. $140.00 (cloth).

Derivas fotográficas. Retratos de Hans Mann en el Gran Chaco

In the following article, a possible relationship between anthropology, pictures, and arts is settled, taking as a starting point the portraits of indigenous populations from Gran Chaco, taken by Hans Mann, a German photographer, in the 30s. Two different scales of analysis are suggested. On the one hand, a question is posed about the pictures themselves, shedding light over the category of “portrait”, which has a complex genealogy, as well as over the photographic medium itself. On the other hand, it is necessary to pay attention to these pictures’ drift within different fields, such as the anthropological and the artistic ones, as well as their popular consumption by a massive audience. Finally, a comment about the current influence of these connections must be made, understand how these visual productions are still effective within the anthropological sciences and the contemporary artistic circuits

A multiscale integrated analysis of the COVID-19 restrictions: The energy metabolism of UK and the related socio-economic changes.

The COVID-19 pandemic and the related lockdown restrictions have imposed a wide range of impacts that need to be analysed based on the specific characteristics of countries. By comparing socio-economic and energy data for the four quarters of 2020 to the same period of 2019, the MuSIASEM approach is used, for the first time, to investigate the energy metabolism of UK during a period of economic downturn. Results show that the commercial and the public administration activities have been able to achieve energy efficiency increases, and the residential sector has accounted for energy-related economies of scale. The industrial and the other activity sectors, on the contrary, have raised the energy intensity of production. Comparted to time series data, scenarios, and modelling exercises, the MuSIASEM approach integrates a wide range of intensive and extensive variables across different scales of analysis and investigate how specific socio-economic and energy structures have reacted to the COVID-19 crisis. The methodology can be easily replicated for other case studies and results can support the design of recovery and sustainable transition strategies.

Hydraulic properties of ignimbrites: matrix and fracture permeabilities in two pyroclastic flow deposits from Cimino-Vico volcanoes (Italy)

Hydrological properties of ignimbrites are known in detail only for some areas, although these rocks cover large areas with considerable thicknesses in many volcanic regions of the world. This study investigates hydrological properties of two ignimbrites of Latium (Central Italy), different in age, composition, and origin. The dual porosity of the ignimbrites was examined through laboratory tests, pumping tests, and outcrop surveys. The degree of welding, composition, and stratigraphy of the two ignimbrites are the main factors determining their hydrological properties. The two ignimbrites share a low matrix permeability, showing a different fracturing degree. The more welded ignimbrite is characterized by lower porosity of the matrix and higher fracturing degree, while the less welded ignimbrite is characterized by higher porosity of the matrix and lower fracturing degree. Hydraulic conductivity and storage capacity of the highly welded ignimbrite mainly depend on the denser network of discontinuities. The hydraulic conductivity of the younger ignimbrite, less welded, mainly depend on the sparser network of discontinuities and on the layer of unconsolidated coarse pyroclastic deposits at its base, while the storage capacity depends on the more porous matrix. Should the pyroclastic rocks be used as aquifer for water supplies, or, in other cases, as substratum of waste disposal sites, the dual porosity of the ignimbrites must necessarily include different scales of analysis in order to evaluate the role of matrix and fractures on the permeability of rock mass. In any case, the results of laboratory and on-site tests are to be interpreted taking into account the stratigraphy of the ignimbrite.

Concórdia e cooperação: Juan de Albuquerque, bispo de Goa, e os primeiros jesuítas na Ásia (1542-1553)

Abstract: Historiography has already shown that the relationship between the Society of Jesus and other institutions and agents in the religious field has given way to various controversies. This article analyses the atmosphere created between the first Jesuits who reached Asia and the Franciscan bishop Juan de Albuquerque, who ruled the diocese when they settled there in 1542, headed by Francis Xavier. What was the pattern of their relationship? How did they cooperate? Why did they keep a climate of concord and cooperation? This is the context and the problematic here discussed. Different scales of analysis will be adopted, and this combinatory perspective will reveal the structural reasons, but also the specific behavior of the agents who are entangled in this relationship, showing how this type of contingency is crucial to understand the climate created between the Jesuits and the bishop who, in India, structured the first Portuguese diocese in Asia.

A new model to analyze urban flood risk. Case study: Veracruz, Mexico

Due to their frequency and magnitude, urban floods affect different regions of the world. For this reason, several methodologies integrate information on hazard (H) and vulnerability (V) using a «Classic» Risk (R) model for risk analysis. However, this combination of variables generally overestimates the risk in places where the frequency of flooding is low. In this work we propose a model that we call «Adjusted Risk» (AR) that integrates values ​​of urban proximity (p) to bodies of water, as a tool to assess the risk of floods. The comparison between the R and AR models showed a higher efficiency of AR to reproduce the frequency of floods for 210 cities in Veracruz, while R overestimated the level of risk in cities with low frequency of floods. The correlation values ​​associated with the frequency of flood events for a period of 45 years (1970-2015), allow to establish the utility of the AR model to evaluate the risk of urban floods when using different scales of analysis.

Africa Tourism in Change: Past and Present

Globally it is apparent that tourism exists in a state of continual change that impacts destinations and the tourism system. The nexus of "tourism and change" requires research perspectives at different scales of analysis. In addition, it demands the extended application of historical perspectives in order to inform contemporary debates and practices. Arguably, change in tourism in sub-Saharan Africa is not a new phenomenon. Over recent decades, however, several events and processes have intensified the shifting complexions of African tourism, most recently the COVID-19 pandemic. It is argued that the pandemic poses a host of new challenges for research concerning tourism and change in Africa. Welcome signs exist of an emerging African scholarship that is engaged and addresses several of the challenges caused by the COVID-19 crisis. This emergent strand of writings includes works on both Africa tourism in change, past and present.